Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example

Overview of attention for article published in Frontiers in Psychiatry, December 2016

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Dec 1 2016 Zürich #MentalHealthEcon of #Autism: Promises, Pitfalls & Guidelines for Apps of #ML to Psychiatric #fMRI https://t.co/Xw35phDHAy

Dec 1 2016 Zürich #MentalHealthEcon of #Autism: Promises, Pitfalls & Guidelines for Apps of #ML to Psychiatric #fMRI https://t.co/l4h5CQuS4U

RT @JHBalsters: New work from @NCMLabETH Promises, pitfalls, and guidelines for applying #machinelearning classifiers to #autism https://t.…

RT @JHBalsters: New work from @NCMLabETH Promises, pitfalls, and guidelines for applying #machinelearning classifiers to #autism https://t.…

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